Instructions to use Muapi/feet-up with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/feet-up with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/feet-up") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download preview.jpg from Muapi/feet-up: direct link, hf CLI and curl.
- Browser
- Download file 137 kB
-
https://huggingface.co/Muapi/feet-up/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/feet-up/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/feet-up/resolve/main/preview.jpg
137 kB

- Xet hash:
- 7e6ad521c0b775aab3459c08985ed007cd7cda3dd7d6661576e132d97db47f93
- Size of remote file:
- 137 kB
- SHA256:
- 980075306331001404f35c992b6be4d3e7e4683a4732e8a3d4fad17d53d521b5
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